AI Implementations Specialist/Project Coordinator IV
Job in
Menlo Park, San Mateo County, California, 94029, USA
Listed on 2026-07-18
Listing for:
Spectraforce Technologies
Full Time
position Listed on 2026-07-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), AI QA / Validation Engineer
Job Description & How to Apply Below
AI Implementations Specialist / Project Coordinator IV
6+ Months
Hybrid (SEA/MPK/NYC/DC)
Role OverviewWe are seeking an AI Implementations Specialist to build AI-driven solutions, develop agent skills, create structured context files, and enable skill orchestration across workflows. In this role, you will design and build AI skills, develop context files that power agent capabilities, and configure orchestration flows that chain skills into end-to-end solutions. Your success is measured by the quality, reliability, and adoptability of the AI solutions you deliver.
Key Responsibilities:- Skill Development: Build and maintain AI agent skills – self‑contained modules that perform specific tasks within orchestrated workflows.
- AI Solution Building: Design and develop AI‑powered solutions that automate operational workflows, from requirements through deployment.
- Context File Development: Create and maintain structured context files (e.g., CLAUDE.md, project context) that enable AI agents to operate with accurate, up‑to‑date information.
- Skill Orchestration: Configure and enable multi‑skill orchestration – chaining skills together to solve complex, multi‑step problems.
- Testing & Validation: Test skills and solutions against defined acceptance criteria, iterating until performance and reliability targets are met.
- Documentation: Document skill capabilities, context file schemas, and orchestration patterns for team adoption.
- Collaboration: Partner with stakeholders to identify automation opportunities and translate operational needs into AI skill requirements.
- Experience building AI solutions, automations, or agent‑based workflows
- Experience with prompt engineering and LLM‑based systems
- Ability to create and maintain structured data files (JSON, YAML, Markdown)
- Strong problem‑solving skills with a build‑oriented mindset
- Ability to manage multiple concurrent build requests, prioritizing based on impact
- Clear communication skills for documenting solutions and collaborating with cross‑functional teams
- Self‑directed with the ability to ramp quickly through structured onboarding
- Experience with Python
- Experience with AI agent frameworks or skill orchestration platforms
- Familiarity with CLI tools and terminal‑based workflows
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